Real-Time Anomaly Detection for Water Quality Sensor Monitoring Based on Multivariate Deep Learning Technique

Real-Time Anomaly Detection for Water Quality Sensor Monitoring Based on Multivariate Deep Learning Technique

With the increased use of automated systems, the Internet of Things (IoT), and sensors for real-time water quality monitoring, there is a greater requirement for the timely detection of unexpected values. Technical faults can introduce anomalies, and a large incoming data rate might make the manual...

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Bibliographic Details
Main Authors: Engy El-Shafeiy, Maazen Alsabaan, Mohamed I. Ibrahem, Haitham Elwahsh
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Sensors
Subjects:
water quality
anomaly detection
Multivariate MCN-LSTM
Internet of Things (IoT)
sensors
time series data
Online Access:https://www.mdpi.com/1424-8220/23/20/8613

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https://www.mdpi.com/1424-8220/23/20/8613

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